Susceptibility of the conventional criteria for mild cognitive impairment to false‐positive diagnostic errors
Open accessAbstract
Background: We assessed whether mild cognitive impairment (MCI) subtypes could be empirically derived within the Alzheimer's Disease Neuroimaging Initiative (ADNI) MCI cohort and examined associated biomarkers and clinical outcomes. Methods: Cluster analysis was performed on neuropsychological data from 825 MCI ADNI participants. Results: Four subtypes emerged: (1) dysnomic (n = 153), (2) dysexecutive (n = 102), (3) amnestic (n = 288), and (4) cluster‐derived normal (n = 282) who performed within normal limits on cognitive testing. The cluster‐derived normal group had significantly fewer APOE ε4 carriers and fewer who progressed to dementia compared with the other subtypes; they also evidenced cerebrospinal fluid Alzheimer's disease biomarker profiles that did not differ from the normative reference group. Conclusions: Identification of empirically derived MCI subtypes demonstrates heterogeneity in MCI cognitive profiles that is not captured by conventional criteria. The large cluster‐derived normal group suggests that conventional diagnostic criteria are susceptible to false‐positive errors, with the result that prior MCI studies may be diluting important biomarker relationships.
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About a third of MCI subjects have shown to be incorrectly diagnosed with cognitive impairment.
“We chose to include MCI subjects in addition to healthy controls since the cognitive impairment did not necessarily have to be caused by an underlying AD process and because about a third of MCI subjects have shown to be incorrectly diagnosed with cognitive impairment43–45.”
From Earliest accumulation of β-amyloid occurs within the default-mode network and concurrently affects brain connectivity (2017) · cites this paper as [44]
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References 36 · Cited by 256
- Authors
- Edmonds, E. C., Delano‐Wood, L., Clark, L. R., Jak, A. J., Nation, D. A., McDonald, C. R., Libon, D. J., Au, R., Galasko, D., Salmon, D. P., Bondi, M. W., & Initiative, A. D. N.
- Affiliations
- University of California San Diego (US)
- San Diego State University (US)
- University of Southern California (US)
- Drexel University (US)
- Boston University (US)
- Alzheimer’s Disease Neuroimaging Initiative (US)
- Corresponding author
- Bondi, Mark W.
- ORCID
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2014-05-22
- Volume
- 11
- Issue
- 4
- Pages
- 415-424
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC4241187
- OpenAlex
- W2019047027
- Cited by
- 256
- References
- 36
- Citations by year
- 2026: 19 · 2025: 18 · 2024: 25 · 2023: 19 · 2022: 26 · 2021: 31 · 2020: 32 · 2019: 30 · 2018: 18 · 2017: 17 · 2016: 10 · 2015: 8 · 2014: 3
- FWCI
- 9.67
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Alzheimer s & Dementia (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Alzheimer's Association (NIRG‐13‐281806)
- Alzheimer's Disease Neuroimaging Initiative
- National Institutes of Health (U01 AG024904)
- U.S. Department of Defense (W81XWH‐12‐2‐0012)
- National Institute on Aging
- National Institute of Biomedical Imaging and Bioengineering
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Keywords
- mild cognitive impairment, MCI subtypes
- MeSH terms
- Aged, Aged, 80 and over, Diagnostic Errors, Disease Susceptibility, Female, Humans, Male, Mental Status Schedule, Middle Aged, Neuropsychological Tests, Peptide Fragments, Biomarkers, Cluster Analysis, Databases, Factual, Amyloid beta-Peptides, tau Proteins, Disease Progression, Apolipoprotein E4, Cognitive Dysfunction
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